Andrew Hsu
Co-Founder
Speak
Speak is an AI recruitment partner that asynchronously evaluates every applicant resume against user-defined custom signals. This technology screens high-volume applicant pools to surface the most qualified candidates efficiently. Recruiters save significant time by automating initial resume review and reducing potential unconscious bias in candidate selection.
Updated 5 months ago
Funding
Raised to date
$78MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Connor Zwick
Founder
Product
Problem
Recruiting teams face significant challenges in managing high volumes of applicant resumes, leading to extended time-to-hire and potential for unconscious bias in candidate evaluation. Manually screening each application is resource-intensive and often results in qualified candidates being overlooked due to the sheer scale of the applicant pool.
Solution
Speak_ is an AI-powered recruitment platform designed to streamline applicant evaluation and enhance hiring accuracy. The platform enables recruiters to define custom evaluation criteria, referred to as "Signals," which are then used by an AI engine to assess every incoming resume. This automated process significantly reduces the manual effort required for resume screening, allowing talent acquisition professionals to focus on engaging with top-tier candidates. Speak_ provides detailed candidate insights, highlighting strengths and weaknesses against predefined requirements, and integrates seamlessly with existing Applicant Tracking Systems (ATS) to facilitate a more efficient workflow.
Target Audience
The primary users are talent acquisition teams and HR professionals within small to enterprise-level organizations seeking to optimize their recruitment processes and improve hiring quality.
Features
- AI-driven resume screening based on user-defined "Signals" for custom candidate evaluation.
- Asynchronous candidate assessment, enabling efficient processing of large applicant volumes.
- Bias mitigation through objective, criteria-based evaluation, reducing human subjectivity.
- In-depth candidate insights detailing match scores and rationale for each applicant.
- Bi-directional ATS integration supporting Greenhouse, Ashby, Workable, and Lever.
- Bulk candidate disposition functionality for efficient advancement or disqualification.
- Customizable evaluation weights for granular control over candidate scoring.